Journal of Medical Imaging and Radiation Sciences最新文献

{"title":"Simultaneous Estimation of Bone Morphology and Fat Fraction Using General-purpose Magnetic Resonance Imaging","authors":"Dr. Nobuyuki Arai,&nbsp;Dr. Hiroe Muto,&nbsp;Dr. Kanae Matsuura,&nbsp;Dr. Koji Nakaya","doi":"10.1016/j.jmir.2024.101522","DOIUrl":"10.1016/j.jmir.2024.101522","url":null,"abstract":"<div><h3>Background / Purpose</h3><div>Intravertebral fat degeneration may be a potential risk factor for bone fractures. Previously, measurements of vertebral morphological changes and fat fraction have been performed separately. However, separate measurements can lead to positioning errors, and with regard to X-ray examinations, an added factor of radiation exposure also exists. Our developed method allows for the simultaneous evaluation of bone morphology and fat fraction using magnetic resonance imaging (MRI), addressing the concerns mentioned above.</div></div><div><h3>Methods</h3><div>All examinations were performed on a 1.5 T MRI system. To obtain a bone image, multi-echo images with in-phase (i.e., echo time [TE], comprising 4 TE, ranged from 4.6–18.4 ms) were acquired. We generated a bone image by applying an inversion process to the sum of the four images. Additionally, by setting the initial TE of the multi-echo image to the opposed phase (i.e., TE, 2.3 ms), the fat fraction was calculated on a pixel-by-pixel basis. Furthermore, a field map was used to correct the inhomogeneity of the magnetic field within the in-plane using MATLAB 2023b.</div></div><div><h3>Results</h3><div>Images that enabled the evaluation of bone morphology similar to X-ray computed tomography were obtained from MRI. Using the in-phase images from multi-echo MRI also made it possible to evaluate trabecular bone. Additionally, opposed-phase images were used to calculate fat fraction images. By incorporating the field map into the analysis, obtaining a more accurate image of the fat fraction was possible without magnetic field inhomogeneity.</div></div><div><h3>Conclusion</h3><div>This method can be completed in a single imaging session, with minimal burden on the participant and no positional displacement, in a clinically useful manner.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of iodine quantification results accuracy between 3 different dual-energy CT systems: a phantom study","authors":"Mr Nicolas Dehlinger ,&nbsp;Mr Justin Bach ,&nbsp;Dr Thibault Willaume ,&nbsp;Mickaël Ohana ,&nbsp;Dr Jean-Philippe Dillenseger","doi":"10.1016/j.jmir.2024.101523","DOIUrl":"10.1016/j.jmir.2024.101523","url":null,"abstract":"<div><h3>Introduction</h3><div>Dual-energy CT seems to be acquiring significant attention in the field of medical imaging. Iodine mapping, specifically, has emerged as a valuable application, enabling the quantification of contrast agent concentration throughout the images. CT users lack robust criteria to assess the accuracy of iodine maps generated by various CT systems. This study seeks to compare the performances of iodine quantification on 3 recent CT systems employing different emission-based technologies, positioned in our hospital.</div></div><div><h3>Methods</h3><div>A specific home-made phantom was used for this study, with 12 known concentrations of iodinated contrast agent: from 0.4 to 50.0 mgI/mL. Three different dual-energy scanners were tested: one employing dual-source technology and two systems equipped with Fast kilovolt-peak switching solution from two different manufacturers. Helical scans were performed for each system following specific spectral acquisition protocols. Eight acquisitions were performed for each concentration (mgI/mL) on each CT system, resulting in 24 measurements for each concentration and CT. Mean measured values were compared to the known concentrations, and the absolute quantification error (AQE) and the relative percentage error (RPE) were used to compare the performances of each CT.</div></div><div><h3>Results</h3><div>The obtained measurements' accuracy varied depending on the studied model but not on the acquisition mode. The quantification was more precise at high concentrations (≥5.0 mgI/mL). The accuracy of measured values at low concentrations (&lt;4.0 mgI/mL) varied considerably from one device to another.</div></div><div><h3>Conclusions</h3><div>We identified variability in the results accuracy depending on the CT model, with sometimes significant deviation. Therefore, a comprehensive evaluation of the performances of all CT systems may be necessary before routinely conducting iodine mapping.</div><div>The radiographer role is to be attentive to the performances of imaging systems, especially when dealing with quantitative data such as iodine-quantification.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The cost of perfection: An investigation into the unnecessary rejection of clinically acceptable lateral wrist imaging","authors":"Mr Adam Steward ,&nbsp;Miss Sarah Semsem ,&nbsp;Miss Katie Currie","doi":"10.1016/j.jmir.2024.101489","DOIUrl":"10.1016/j.jmir.2024.101489","url":null,"abstract":"<div><h3>Introduction</h3><div>This study illustrates image rejection rates of the lateral wrist x-ray projection at a large, public teaching hospital. Rejected images were evaluated to determine the number of images where image repeat was required based on the clinical indication. This study highlights the difference in subjective image-repeat decision-making skills existing between radiologists, experienced radiographers and junior radiographers.</div></div><div><h3>Methods</h3><div>A retrospective review was conducted of all rejected lateral wrist x-ray images by a panel of 3 radiologists, 3 experienced radiographers and 6 junior radiographers. This review aimed to determine if rejected imaging met the consideration of the clinical indication and assumed appropriate acquisition of an orthogonal projection. A compliment of images that had not been rejected were included in the review.</div></div><div><h3>Results</h3><div>The review demonstrated 85.8% of rejected images were deemed to meet clinical requirements according to radiologists. The experienced radiographers agreed with radiologists regarding 75.3% of images. Junior radiographers agreed with radiologists in 34.2% of cases. Junior radiographers were three times more likely to seek repeat imaging than the radiologists and experienced radiographers.</div></div><div><h3>Conclusion</h3><div>This review demonstrated a lateral wrist projection reject rate of 38.7% with unnecessary repeats according to clinical indications in 85.8% of cases. The review of experienced radiographers was comparable to radiologists, however, difference in decision making skills was evident in the junior radiographers. This highlights an alarming trend, should similar results be demonstrated at other health services. Inclusion of clinical reasoning for imaging and the need for repeat imaging is recommended for radiography training programs.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subscription","authors":"","doi":"10.1016/S1939-8654(24)00525-3","DOIUrl":"10.1016/S1939-8654(24)00525-3","url":null,"abstract":"","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motion scout trigger technique improves the quality of 3.0T MRI images of the fetal brain","authors":"Miaona Zhang,&nbsp;Dr. Lianxiang Xiao,&nbsp;Dong Xu","doi":"10.1016/j.jmir.2024.101515","DOIUrl":"10.1016/j.jmir.2024.101515","url":null,"abstract":"<div><h3>Purpose</h3><div>Single-shot fast spin-echo (SSFSE) is the premier imaging and diagnostic sequence for fetal brain magnetic resonance imaging (MRI). This sequence is affected by maternal respiratory motion, and the repeated excitation of protons at some levels of the fetal brain partially leads to a high probability of cross talk artifact, which affects the image quality, especially at 3 Tesla. In this paper, we will explore the application of motion scout trigger technology to reduce cross talk artifact in SSFSE images and improve image quality.</div></div><div><h3>Methods</h3><div>43 cases of fetal brain MRI scans were performed in pregnant women using SSFSE and motion scout trigger SSFSE scans in free breathing state, respectively to obtain axial brain images of the same fetus. Using self-control and paired t-test to compare the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) uniformity of fetal white matter, and then evaluate the difference in image quality between the two groups.</div></div><div><h3>Results</h3><div>The SNR of free-breathing SSFSE and motion scout trigger SSFSE images were 99.93±36.16 and 120.18±44.58 (P&lt;0.05), and the CNR uniformity was 32.67±21.07 and 7.00±6.69 (P&lt;0.05), respectively. All differences were statistically significant.</div></div><div><h3>Conclusion</h3><div>Motion scout trigger SSFSE can significantly improve the signal-to-noise ratio of fetal brain MRI images and effectively reduce cross talk artifact. Therefore, it can clearly display the fetal brain structure and provide more effective information for diagnosis.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HEROCARE: Advancing Paediatric Radiotherapy and Education through Innovative Care Models","authors":"Dr Shara Wee-yee Lee","doi":"10.1016/j.jmir.2024.101465","DOIUrl":"10.1016/j.jmir.2024.101465","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;The need for innovative paediatric cancer care models that minimise the reliance on anaesthesia and sedation during treatment has never been more critical. The HEROCARE (Holistic Empowerment in Radiation Oncology) project, developed at the Hong Kong Polytechnic University, pioneers an advanced framework that emphasises personalised preparations and experiential learning for patients, undergraduate radiography students and healthcare providers, particularly radiation therapists.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Objective&lt;/h3&gt;&lt;div&gt;This presentation outlines the transformative impact of the HEROCARE model in paediatric radiotherapy, detailing its dual benefits in enhancing treatment efficacy and educational outcomes. It highlights the model's role in fostering empathy and compassion among practitioners, crucial for patient-centred care.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;The HEROCARE model integrates immersive simulations and interdisciplinary workshops to prepare children and their carers for the radiotherapy course, significantly reducing the need for sedation/anaesthesia. This model serves as a practical training ground for radiation therapy students and practising therapists, emphasising hands-on engagement, empathetic patient and carer interactions. This model, incorporating real-world clinical scenarios into education, enhances students’ professional skills, communication abilities, and emotional intelligence.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;The implementation of HEROCARE has led to remarkable improvements in treatment outcomes, including a substantial reduction in sedation/anaesthesia use, shorter treatment times, and increased patient comfort and compliance. Simultaneously, the project enriches the training of future radiation therapists by providing them with comprehensive insights into patient-centred approaches and interdisciplinary collaboration. Feedback from participants indicates enhanced understanding of the emotional and physical needs of paediatric patients, better communication with children and families, and greater confidence in managing complex clinical situations without sedation.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Extension Beyond Paediatric Care&lt;/h3&gt;&lt;div&gt;Building on its success in paediatric settings, the HEROCARE framework is proposed as a model for continuing professional development in radiation therapy. The model's adaptability for advanced practice professionals helps in refining their skills in empathetic patient care, complex decision-making, and collaborative practice. This initiative not only exemplifies the integration of service and education but also sets a visionary standard for developing cancer treatment protocols that are both effective and compassionate.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;div&gt;The HEROCARE project not only revolutionises paediatric radiotherapy by improving clinical outcomes and reducing dependency on sedation/anaesthesia but also significantly advances radiation therapy education. B","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobility of radiological technologists within the Asia Pacific: a comparative study between Japan and Australia","authors":"Dr. Yuh Morimoto ,&nbsp;Prof. Jenny Sim ,&nbsp;Prof. Hiroyuki Daida","doi":"10.1016/j.jmir.2024.101517","DOIUrl":"10.1016/j.jmir.2024.101517","url":null,"abstract":"<div><h3>Background</h3><div>Facilitating international mobility among radiological technologists (RTs) has the potential to enhance clinical practice of individual practitioners, their host countries and their country of origin when they return home. The key to maximizing the benefits and managing drawbacks of such mobility lies in international cooperation and information exchange. This study investigated the licensing/registration systems for RTs to explore the possibility of promoting transnational movement for qualified RTs to practice within the Asia Pacific region.</div></div><div><h3>Methods</h3><div>Ten countries/regions in the Asia Pacific region were selected based on two primary types of licensing/registration systems: single and multiple registration. Invitations were extended to presidents of professional societies or board members from national registration bodies. Participants completed an initial questionnaire, followed by semi-structured interviews online. Data was analysed using thematic analysis. This presentation focuses on Japan and Australia, comparing the similarities and differences of a single and multiple registration respectively.</div></div><div><h3>Results</h3><div>In Japan, diagnostic imaging, radiation therapy, and nuclear medicine operate under a single license, while Australia requires separate registration for each of the three specialisations. In Japan, a diploma is the minimum education requirement, whereas Australia requires a bachelor's degree. Both countries offer licensing/registration pathways determined through individual assessments. Language was recognized as one of the main barriers in the mobility of RTs between the two countries.</div></div><div><h3>Conclusions</h3><div>The unrestricted movement of RTs between Japan and Australia is presently limited. Our ongoing analysis of the systems in the remaining countries/regions aims to inform and identify potential pathways for RTs to practice within the Asia-Pacific region. With appropriate policies and strategies in place, a well-established international movement has the potential to mitigate workforce shortages, enhance patient safety, and foster mutual development in clinical practice.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative Susceptibility Mapping for Distinguishing Progression from Treatment Response: Added Value to 3D Pseudo-continuous Arterial Spin Labelling Perfusion","authors":"Dr. Yanzhao Diao ,&nbsp;Mrs. Huimin Hou ,&nbsp;Dr Hong Qu ,&nbsp;Dr. Guihua Jiang","doi":"10.1016/j.jmir.2024.101519","DOIUrl":"10.1016/j.jmir.2024.101519","url":null,"abstract":"<div><h3>Purpose</h3><div>To assess the diagnostic value of quantitative susceptibility mapping(QSM), 3D pseudo-continuous arterial spin labeling(3D-PCASL) imaging and diffusion-weighted imaging(DWI) in distinguishing true progression(TP) from treatment response(TR).</div></div><div><h3>Methods</h3><div>45 patients with glioblastoma(GBM) who showed newly appearing enhancing lesions after treatment were enrolled. All underwent examination including conventional MRI, QSM, 3D-PcASL and DWI sequences. Longitudinal MRI for 6 months follow-up or repeat surgery were used to define the diagnosis. We calculated the proportion of hemorrhagic foci for the enhancing-lesions (proQSM) on magnitude image and corresponding average magnetic susceptibility value(SUS) on QSM image. The maximum cerebral blood flow (CBFmax) obtained from ASL and minimum ADC value(ADCmin) generated from DWI were measured by placing 3–5 circular ROIs, receiver-operating characteristic(ROC) analyses were conducted to evaluate diagnostic performance.</div></div><div><h3>Results</h3><div>28 patients were finally diagnosed with TP, and 17 patients were diagnosed with TR. The proQSM in the TP was significantly lower than in the TR(0.060 vs. 0.270; p&lt;0.001), The rCBFmax were significantly higher in TP(2.180 vs. 1.265; p&lt;0.001), and the rADCmin in the TP was lower than TR (1.229 vs. 1.432; p&lt;0.05), with the area under the ROC curve (AUCs) of 0.891, 0.854 and 0.662, respectively. Combining the two parameters with the highest diagnostic efficiency (proQSM_rCBF parameter), AUC can reach 0.952, the sensitivity can reach 88.9%, and the specificity can reach 93.3%. Besides, there was a close negative correlation between proQSM and rCBFmax(rs=-0.492; p=0.004).</div></div><div><h3>Conclusion</h3><div>QSM can be used as an imaging biomarker for distinguishing TP and TR. Combining the QSM and ASL can improve diagnostic performance.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shaping patient care in Geriatric Radiation Oncology: Through the lens of an Advanced Practice Radiation Therapist","authors":"Wendy Hoy ,&nbsp;Lili Goh ,&nbsp;Dr Francis Cho Hao Ho","doi":"10.1016/j.jmir.2024.101474","DOIUrl":"10.1016/j.jmir.2024.101474","url":null,"abstract":"<div><h3>Background</h3><div>Singapore's ageing population necessitates heightened focus on complex health issues, particularly cancer. With a projected 53% increase in cancer cases by 2030, of which 70% will affect the elderly. Geriatric Oncology is pivotal in meeting this demographic's unique needs. Over 60% of cancer patients will require radiation therapy. Elderly patients exhibit specific challenges, including reduced treatment tolerance, increased comorbidities, and social support requirements, which complicate their care. Highlighting the need to advance geriatric radiation therapy services, Advanced Practice Radiation therapists (APRT) can provide personal care to address the rising demands of the ageing population.</div></div><div><h3>Role expansion and Development</h3><div>Our initiative is grounded in utilising the Advanced Practice Registered Technologist (Radiation Therapy) Competency Profile provided by the Canadian Association of Medical Radiation Technologies. This framework serves as the basis for our role expansion and development efforts. We have identified the feasibility of extending roles and the corresponding educational prerequisites. In the domain of clinical competencies, our experiential journey involves implementing established clinical geriatric assessment tools to evaluate elderly patients undergoing radiation treatment and elucidate the clinical rationale that informs treatment decisions and underscores the importance of collaboration with multidisciplinary teams to ensure personalized, patient-centred care. Technical competencies: The use of geriatric tools enhances radiation treatment for this vulnerable population, aligning with geriatric assessment clinical practice guidelines. In the realm of professional competencies, we address the development of geriatric APRT in education, research, and leadership domains.</div></div><div><h3>Conclusion</h3><div>Our aim is to illuminate the evolving landscape of geriatric radiation oncology through the journey of an APRT. This transformation marked by challenges and opportunities, includes comprehensive patient care, geriatric assessment tools, and multidisciplinary collaboration. By embracing this initiative, APRT can have a profound impact on improving outcomes and enhancing the quality of life for geriatric oncology patients.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI Image Analysis and Quantification","authors":"Dr Tian Li","doi":"10.1016/j.jmir.2024.101468","DOIUrl":"10.1016/j.jmir.2024.101468","url":null,"abstract":"<div><div>Artificial Intelligence (AI) has revolutionized various fields of healthcare, including medical imaging, by enabling advanced image analysis and quantification techniques. This presentation delves into the current landscape and future prospects of AI application in segmentation, image registration, and the derivation of image biomarkers in radiography and radiological technology. Segmentation, the process of partitioning an image into meaningful regions, plays a pivotal role in medical image analysis. AI-driven segmentation algorithms, such as deep learning-based approaches, have demonstrated remarkable performance in accurately delineating anatomical structures and pathological regions from medical images. These techniques hold promise for improving diagnostic accuracy, treatment planning, and patient outcomes. Image registration, the alignment of multiple images to a common coordinate system, is essential for various medical imaging tasks, including image fusion, motion correction, and treatment planning. AI-based registration methods leverage machine learning algorithms to achieve robust and accurate image alignment, even in the presence of complex deformations and anatomical variations. These advancements facilitate the integration of multi-modal imaging data and enhance clinical decision-making. The derivation of image biomarkers, quantitative measures extracted from medical images, is crucial for disease characterization, treatment response assessment, and prognostic evaluation. AI-enabled image analysis techniques enable the extraction of sophisticated biomarkers from medical images, providing clinicians with valuable insights into disease progression and therapeutic efficacy. Moreover, AI-based predictive models leverage image-derived biomarkers to forecast patient outcomes and guide personalized treatment strategies. This presentation will explore the current state-of-the-art in AI-driven image analysis and quantification and discuss the challenges and opportunities in translating these technologies into clinical practice. In conclusion, AI holds tremendous potential to revolutionize image analysis and quantification in radiography and radiological technology, offering unprecedented opportunities for enhancing diagnostic accuracy, improving patient care, and advancing research in the field. By embracing AI-driven approaches, radiographers and radiological technologists can leverage the power of technology to optimize healthcare delivery and improve outcomes for patients worldwide.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}